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Akademický článek

Evaluating land use/cover change associations with urban surface temperature via machine learning and spatial modeling: Past trends and future simulations in Dera Ghazi Khan, Pakistan

Autor: Muhammad Sajid Mehmood, Adnanul Rehman, Muhammad Sajjad, Jinxi Song, Zeeshan Zafar, Zhai Shiyan, Qin Yaochen

Publikováno v: Frontiers in Ecology and Evolution, Vol 11 (2023)

While urbanization puts lots of pressure on green areas, the transition of green-to-grey surfaces under land use land cover change is directly related to increased land surface temperature–compromising livability and comfort in cities due to the he

Externí odkaz: https://doaj.org/article/f3bb418afa9c4b78892038533672d6b9

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Akademický článek

Fostering deep learning approaches to evaluate the impact of urbanization on vegetation and future prospects

Autor: Zeeshan Zafar, Muhammad Sajid Mehmood, Zhai Shiyan, Muhammad Zubair, Muhammad Sajjad, Qin Yaochen

Publikováno v: Ecological Indicators, Vol 146, Iss , Pp 109788- (2023)

Vegetation is an essential component of our global ecosystem and an important indicator of the dynamics and productivity of land cover. Vegetation forecasting research has been accelerated using several deep learning (DL) algorithms through remote se

Externí odkaz: https://doaj.org/article/4495d4d2bd1f4db6b0962c22ce445ef0

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Extended p-median problems for balancing service efficiency and equality

Autor: Kong, Yunfeng, Lian, Chenchen, Zhang, Guangli, Zhai, Shiyan

This article deals with the location problem for balancing the service efficiency and equality. In public service systems, some individuals may experience envy if they have to travel longer distances to access services compared to others. This envy c

Externí odkaz: http://arxiv.org/abs/2312.14408